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30. Passage of particles through matter 1 - Particle Data Group

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<strong>30.</strong> <strong>Passage</strong> <strong>of</strong> <strong>particles</strong> <strong>through</strong> <strong>matter</strong> 17<br />

x/2<br />

x<br />

s plane<br />

Ψ plane<br />

y plane<br />

θ plane<br />

Figure <strong>30.</strong>10: Quantities used to describe multiple Coulomb scattering.<br />

The particle is incident in the plane <strong>of</strong> the figure.<br />

The nonprojected (space) and projected (plane) angular distributions are given<br />

approximately by [35]<br />

1<br />

⎧<br />

exp ⎪⎩− θ2 ⎫<br />

space<br />

⎪⎭dΩ , (<strong>30.</strong>16)<br />

2π θ 2 0<br />

1<br />

√ 2π θ0<br />

exp<br />

⎧<br />

2θ 2 0<br />

⎪⎩− θ2 plane<br />

2θ 2 0<br />

⎫<br />

⎪⎭dθplane , (<strong>30.</strong>17)<br />

where θ is the deflection angle. In this approximation, θ 2 space ≈ (θ 2 plane,x + θ2 plane,y ),<br />

where the x and y axes are orthogonal to the direction <strong>of</strong> motion, and<br />

dΩ ≈ dθplane,x dθplane,y. Deflections into θplane,x and θplane,y are independent and<br />

identically distributed.<br />

Fig. <strong>30.</strong>10 shows these and other quantities sometimes used to describe multiple<br />

Coulomb scattering. They are<br />

ψ rms 1<br />

plane = √ θ<br />

3 rms<br />

plane<br />

y rms 1<br />

plane = √ xθ<br />

3 rms<br />

plane<br />

= 1<br />

√ 3 θ0 , (<strong>30.</strong>18)<br />

= 1<br />

√ 3 xθ0 , (<strong>30.</strong>19)<br />

s rms 1<br />

plane =<br />

4 √ rms 1<br />

xθ plane =<br />

3 4 √ 3 xθ0 . (<strong>30.</strong>20)<br />

All the quantitative estimates in this section apply only in the limit <strong>of</strong> small<br />

θ rms<br />

plane and in the absence <strong>of</strong> large-angle scatters. The random variables s, ψ, y, and<br />

θ in a given plane are correlated. Obviously, y ≈ xψ. In addition, y and θ have the<br />

correlation coefficient ρyθ = √ 3/2 ≈ 0.87. For Monte Carlo generation <strong>of</strong> a joint<br />

(y plane,θplane) distribution, or for other calculations, it may be most convenient<br />

to work with independent Gaussian random variables (z1,z2) with mean zero and<br />

variance one, and then set<br />

yplane =z1 xθ0(1 − ρ 2 yθ )1/2 / √ 3 + z2 ρyθxθ0/ √ 3 (<strong>30.</strong>21)<br />

June 18, 2012 16:19

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